View merrafelice's full-sized avatar
16 followers · 3 following

Achievements

Achievement: YOLOAchievement: StarstruckAchievement: Pull Shark

Achievements

Achievement: YOLOAchievement: StarstruckAchievement: Pull Shark

Block or report merrafelice

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. Semantic-Aware-Shilling-AttacksSemantic-Aware-Shilling-AttacksPublic

    In this paper, we introduce SAShA, a new attack strategy that leverages semantic features extracted from a knowledge graph in order to strengthen the efficacy of the attack to standard CF models. W…

    Python 4 2

  2. TAaMRTAaMRPublic

    Proposal of a novel adversarial attack approach, called Target Adversarial Attack against Multimedia Recommender Systems (TAaMR), to investigate the modification of MR behavior when the images of a…

    Python 2

  3. sisinflab/adversarial-recommender-systems-surveysisinflab/adversarial-recommender-systems-surveyPublic

    The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show an…

    166 33

  4. sisinflab/elliotsisinflab/elliotPublic

    Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

    Python 298 57

  5. sisinflab/MSAPsisinflab/MSAPPublic

    In this work, we extend the FGSM method proposing multistep adversarial perturbation (MSAP) procedures to study the recommenders’ robustness under powerful methods. Letting fixed the perturbation m…

    Python 2 4

  6. sisinflab/Visual-Adversarial-Recommendationsisinflab/Visual-Adversarial-RecommendationPublic

    we present an evaluation framework, named Visual Adversarial Recommender (\var), to empirically investigate the performance of defended or undefended DNNs in various visually-aware item recommendat…

    Python 6 1

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
View merrafelice's full-sized avatar
16
followers
 · 3
following

Achievements
Achievement: YOLOAchievement: StarstruckAchievement: Pull Shark
Achievements
Achievement: YOLOAchievement: StarstruckAchievement: Pull Shark

Block or report merrafelice

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse

Pinned
Loading
  1. Semantic-Aware-Shilling-AttacksSemantic-Aware-Shilling-AttacksPublic
    
In this paper, we introduce SAShA, a new attack strategy that leverages semantic features extracted from a knowledge graph in order to strengthen the efficacy of the attack to standard CF models. W…

    Python
4

2

  2. TAaMRTAaMRPublic
    
Proposal of a novel adversarial attack approach, called Target Adversarial Attack against Multimedia Recommender Systems (TAaMR), to investigate the modification of MR behavior when the images of a…

    Python
2

  3. sisinflab/adversarial-recommender-systems-surveysisinflab/adversarial-recommender-systems-surveyPublic
    
The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show an…

    
166

33

  4. sisinflab/elliotsisinflab/elliotPublic
    
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

    Python
298

57

  5. sisinflab/MSAPsisinflab/MSAPPublic
    
In this work, we extend the FGSM method proposing multistep adversarial perturbation (MSAP) procedures to study the recommenders’ robustness under powerful methods. Letting fixed the perturbation m…

    Python
2

4

  6. sisinflab/Visual-Adversarial-Recommendationsisinflab/Visual-Adversarial-RecommendationPublic
    
we present an evaluation framework, named Visual Adversarial Recommender (\var), to empirically investigate the performance of defended or undefended DNNs in various visually-aware item recommendat…

    Python
6

1


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
View merrafelice's full-sized avatar
16
followers
 · 3
following

Achievements
Achievement: YOLOAchievement: StarstruckAchievement: Pull Shark
Achievements
Achievement: YOLOAchievement: StarstruckAchievement: Pull Shark

Block or report merrafelice

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse

Pinned
Loading
  1. Semantic-Aware-Shilling-AttacksSemantic-Aware-Shilling-AttacksPublic
    
In this paper, we introduce SAShA, a new attack strategy that leverages semantic features extracted from a knowledge graph in order to strengthen the efficacy of the attack to standard CF models. W…

    Python
4

2

  2. TAaMRTAaMRPublic
    
Proposal of a novel adversarial attack approach, called Target Adversarial Attack against Multimedia Recommender Systems (TAaMR), to investigate the modification of MR behavior when the images of a…

    Python
2

  3. sisinflab/adversarial-recommender-systems-surveysisinflab/adversarial-recommender-systems-surveyPublic
    
The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show an…

    
166

33

  4. sisinflab/elliotsisinflab/elliotPublic
    
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

    Python
298

57

  5. sisinflab/MSAPsisinflab/MSAPPublic
    
In this work, we extend the FGSM method proposing multistep adversarial perturbation (MSAP) procedures to study the recommenders’ robustness under powerful methods. Letting fixed the perturbation m…

    Python
2

4

  6. sisinflab/Visual-Adversarial-Recommendationsisinflab/Visual-Adversarial-RecommendationPublic
    
we present an evaluation framework, named Visual Adversarial Recommender (\var), to empirically investigate the performance of defended or undefended DNNs in various visually-aware item recommendat…

    Python
6

1


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
View merrafelice's full-sized avatar
16
followers
 · 3
following

Achievements
Achievement: YOLOAchievement: StarstruckAchievement: Pull Shark
Achievements
Achievement: YOLOAchievement: StarstruckAchievement: Pull Shark

Block or report merrafelice

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse

Pinned
Loading
  1. Semantic-Aware-Shilling-AttacksSemantic-Aware-Shilling-AttacksPublic
    
In this paper, we introduce SAShA, a new attack strategy that leverages semantic features extracted from a knowledge graph in order to strengthen the efficacy of the attack to standard CF models. W…

    Python
4

2

  2. TAaMRTAaMRPublic
    
Proposal of a novel adversarial attack approach, called Target Adversarial Attack against Multimedia Recommender Systems (TAaMR), to investigate the modification of MR behavior when the images of a…

    Python
2

  3. sisinflab/adversarial-recommender-systems-surveysisinflab/adversarial-recommender-systems-surveyPublic
    
The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show an…

    
166

33

  4. sisinflab/elliotsisinflab/elliotPublic
    
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

    Python
298

57

  5. sisinflab/MSAPsisinflab/MSAPPublic
    
In this work, we extend the FGSM method proposing multistep adversarial perturbation (MSAP) procedures to study the recommenders’ robustness under powerful methods. Letting fixed the perturbation m…

    Python
2

4

  6. sisinflab/Visual-Adversarial-Recommendationsisinflab/Visual-Adversarial-RecommendationPublic
    
we present an evaluation framework, named Visual Adversarial Recommender (\var), to empirically investigate the performance of defended or undefended DNNs in various visually-aware item recommendat…

    Python
6

1


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
View merrafelice's full-sized avatar
16
followers
 · 3
following

Achievements
Achievement: YOLOAchievement: StarstruckAchievement: Pull Shark
Achievements
Achievement: YOLOAchievement: StarstruckAchievement: Pull Shark

Block or report merrafelice

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse

Pinned
Loading
  1. Semantic-Aware-Shilling-AttacksSemantic-Aware-Shilling-AttacksPublic
    
In this paper, we introduce SAShA, a new attack strategy that leverages semantic features extracted from a knowledge graph in order to strengthen the efficacy of the attack to standard CF models. W…

    Python
4

2

  2. TAaMRTAaMRPublic
    
Proposal of a novel adversarial attack approach, called Target Adversarial Attack against Multimedia Recommender Systems (TAaMR), to investigate the modification of MR behavior when the images of a…

    Python
2

  3. sisinflab/adversarial-recommender-systems-surveysisinflab/adversarial-recommender-systems-surveyPublic
    
The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show an…

    
166

33

  4. sisinflab/elliotsisinflab/elliotPublic
    
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

    Python
298

57

  5. sisinflab/MSAPsisinflab/MSAPPublic
    
In this work, we extend the FGSM method proposing multistep adversarial perturbation (MSAP) procedures to study the recommenders’ robustness under powerful methods. Letting fixed the perturbation m…

    Python
2

4

  6. sisinflab/Visual-Adversarial-Recommendationsisinflab/Visual-Adversarial-RecommendationPublic
    
we present an evaluation framework, named Visual Adversarial Recommender (\var), to empirically investigate the performance of defended or undefended DNNs in various visually-aware item recommendat…

    Python
6

1


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
View merrafelice's full-sized avatar
16
followers
 · 3
following

Achievements
Achievement: YOLOAchievement: StarstruckAchievement: Pull Shark
Achievements
Achievement: YOLOAchievement: StarstruckAchievement: Pull Shark

Block or report merrafelice

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse

Pinned
Loading
  1. Semantic-Aware-Shilling-AttacksSemantic-Aware-Shilling-AttacksPublic
    
In this paper, we introduce SAShA, a new attack strategy that leverages semantic features extracted from a knowledge graph in order to strengthen the efficacy of the attack to standard CF models. W…

    Python
4

2

  2. TAaMRTAaMRPublic
    
Proposal of a novel adversarial attack approach, called Target Adversarial Attack against Multimedia Recommender Systems (TAaMR), to investigate the modification of MR behavior when the images of a…

    Python
2

  3. sisinflab/adversarial-recommender-systems-surveysisinflab/adversarial-recommender-systems-surveyPublic
    
The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show an…

    
166

33

  4. sisinflab/elliotsisinflab/elliotPublic
    
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

    Python
298

57

  5. sisinflab/MSAPsisinflab/MSAPPublic
    
In this work, we extend the FGSM method proposing multistep adversarial perturbation (MSAP) procedures to study the recommenders’ robustness under powerful methods. Letting fixed the perturbation m…

    Python
2

4

  6. sisinflab/Visual-Adversarial-Recommendationsisinflab/Visual-Adversarial-RecommendationPublic
    
we present an evaluation framework, named Visual Adversarial Recommender (\var), to empirically investigate the performance of defended or undefended DNNs in various visually-aware item recommendat…

    Python
6

1


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
View merrafelice's full-sized avatar
16
followers
 · 3
following

Achievements
Achievement: YOLOAchievement: StarstruckAchievement: Pull Shark
Achievements
Achievement: YOLOAchievement: StarstruckAchievement: Pull Shark

Block or report merrafelice

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse

Pinned
Loading
  1. Semantic-Aware-Shilling-AttacksSemantic-Aware-Shilling-AttacksPublic
    
In this paper, we introduce SAShA, a new attack strategy that leverages semantic features extracted from a knowledge graph in order to strengthen the efficacy of the attack to standard CF models. W…

    Python
4

2

  2. TAaMRTAaMRPublic
    
Proposal of a novel adversarial attack approach, called Target Adversarial Attack against Multimedia Recommender Systems (TAaMR), to investigate the modification of MR behavior when the images of a…

    Python
2

  3. sisinflab/adversarial-recommender-systems-surveysisinflab/adversarial-recommender-systems-surveyPublic
    
The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show an…

    
166

33

  4. sisinflab/elliotsisinflab/elliotPublic
    
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

    Python
298

57

  5. sisinflab/MSAPsisinflab/MSAPPublic
    
In this work, we extend the FGSM method proposing multistep adversarial perturbation (MSAP) procedures to study the recommenders’ robustness under powerful methods. Letting fixed the perturbation m…

    Python
2

4

  6. sisinflab/Visual-Adversarial-Recommendationsisinflab/Visual-Adversarial-RecommendationPublic
    
we present an evaluation framework, named Visual Adversarial Recommender (\var), to empirically investigate the performance of defended or undefended DNNs in various visually-aware item recommendat…

    Python
6

1


, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
View merrafelice's full-sized avatar
16
followers
 · 3
following

Achievements
Achievement: YOLOAchievement: StarstruckAchievement: Pull Shark
Achievements
Achievement: YOLOAchievement: StarstruckAchievement: Pull Shark

Block or report merrafelice

Block user

Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.


You must be logged in to block users.


Content in all repositories owned by your account will be closed.


Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

Report abuse

Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

Report abuse

Pinned
Loading
  1. Semantic-Aware-Shilling-AttacksSemantic-Aware-Shilling-AttacksPublic
    
In this paper, we introduce SAShA, a new attack strategy that leverages semantic features extracted from a knowledge graph in order to strengthen the efficacy of the attack to standard CF models. W…

    Python
4

2

  2. TAaMRTAaMRPublic
    
Proposal of a novel adversarial attack approach, called Target Adversarial Attack against Multimedia Recommender Systems (TAaMR), to investigate the modification of MR behavior when the images of a…

    Python
2

  3. sisinflab/adversarial-recommender-systems-surveysisinflab/adversarial-recommender-systems-surveyPublic
    
The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show an…

    
166

33

  4. sisinflab/elliotsisinflab/elliotPublic
    
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

    Python
298

57

  5. sisinflab/MSAPsisinflab/MSAPPublic
    
In this work, we extend the FGSM method proposing multistep adversarial perturbation (MSAP) procedures to study the recommenders’ robustness under powerful methods. Letting fixed the perturbation m…

    Python
2

4

  6. sisinflab/Visual-Adversarial-Recommendationsisinflab/Visual-Adversarial-RecommendationPublic
    
we present an evaluation framework, named Visual Adversarial Recommender (\var), to empirically investigate the performance of defended or undefended DNNs in various visually-aware item recommendat…

    Python
6

1